Abutalha Shaikh

I'm building and maintaining Python backend systems at Alpha Aces LLP, processing and visualizing financial data in production. I optimize SQL queries for financial reporting and communicate data issues and solutions to non-technical stakeholders.

At Fintellect, I developed scalable FastAPI and Redis-backed modules for Networth projections and e-CAS statement visualization. I also worked with Excel-based financial modeling and streamlined statement processing.

I've delivered end-to-end machine learning applications, including a sports injury rehabilitation platform with a 96% accurate prediction model and LLM-generated recovery guidance. I also built a fake job posting detector using LSTM and SMOTE that achieved 98% test accuracy.

My work spans Python, SQL, Flask, FastAPI, MySQL, Redis, DVC, and MLflow. Outside development, I contribute through technical blogging and open source, and I led 10+ Rotaract Club events that increased engagement and participation.